• Own the end-to-end architecture vision across the front end, back end, data pipelines, and AI agent harness, and keep the layers coherent as they grow • Establish patterns, standards, and shared enablers (libraries, services, conventions) that break down silos and enable teams to build consistently • Work hands-on alongside the front-end and back-end teams, contributing code, reviews, and design leadership • Drive sound distributed systems and event-driven design where it fits, with reliability, observability, and security treated as first-class concerns • Architect the AI agent harness to interact with PHI and other sensitive data in a governed, auditable, HIPAA-compliant manner • Partner with data engineers, data scientists, and actuaries on our AWS and Databricks stack to align data pipeline architecture with the analytics and decision-support layers above it • Work with Product Management to ensure that PRDs have sufficient detail to be translated into technical designs • Produce clear, actionable architecture documentation that teams can confidently build from • Rapidly understand existing codebases, surface technical debt, and chart pragmatic paths to pay it down • Mentor engineers and data engineers toward stronger architectural thinking, building the foundation for a future platform team

• Design, develop, and maintain production-grade Go microservices using gRPC, Protocol Buffers, grpc-gateway, and REST APIs. • Build backend services supporting live event lifecycle management, media ingestion, media inspection, asset export, and distribution workflows. • Enhance and maintain hybrid media caching architectures integrating on-premise systems with Google Cloud Storage. • Own features end-to-end, from API design and protobuf schemas to deployment, monitoring, and operational support. • Develop event-driven solutions using Pub/Sub, Cloud Tasks, Cloud Functions, and Cloud Workflows. • Integrate services with Google Cloud media products such as Live Stream API, Transcoder API, Video Intelligence, and Vision AI. • Create and maintain unit, integration, load, and end-to-end tests to ensure platform reliability and performance. • Improve observability, monitoring, scalability, and overall system reliability. • Collaborate with DevOps teams on Kubernetes deployments, Helm charts, Terraform infrastructure, Istio configurations, and GKE rollouts. • Participate in architecture discussions, code reviews, technical design reviews, and on-call support rotations.

Role Description As a Senior Fullstack Node/React Engineer, you will collaborate seamlessly with multifunctional teams to dissect, blueprint, and execute cloud-native software solutions that align precisely with customer requirements. Our ideal candidate for this role is deeply impassioned by technology, possesses a profound aptitude for problem-solving, and thrives in the fast-paced, ever-evolving realm of our dynamic environment. - Lead the design, development, and maintenance of cloud native software applications. - Collaborate with cross-functional teams to analyze, design, and implement cloud native software solutions. - Develop high-quality, scalable, and maintainable code. - Participate in code reviews, design reviews, and other team activities. - Mentor junior engineers and assist in their professional development. - Evaluate new cloud native technologies and provide recommendations to the team. - Ensure that cloud native software development processes and practices are followed. - Write technical documentation and ensure that it is up-to-date. - Design, implement and maintain relational and non-relational databases in a cloud native environment. - Collaborate with other teams to ensure data consistency and integrity across cloud native systems. Qualifications - Bachelor's Degree in Computer Science, Engineering, or a related field. - 6+ Years of experience working in Software development. - 5+ Years of experience working with Node. - 3+ Years of experience working with AWS. - 3+ Years of experience working with React. - 1+ Years of architecture design experience. - 1+ Years of experience working with AWS Services (EXS, EC2, EKS, Kafka, Elasticsearch, DynamoDB, SQS, SNS, Lambda). - Advanced English Level is required for this role, as you will work with US clients. Benefits - Competitive USD salary. - 100% remote work. - Paid off & national holidays. - Sick leave. - Annual credit to enhance your work-life balance. - Team-building activities. - Birthday off during your birthday week. Company Description For over 25 years, we’ve been shaping digital transformation, delivering complex solutions for global enterprises and public sector organizations. Today, we are at the forefront of an AI-driven transformation era, helping organizations turn data into real business value. By combining deep domain expertise with data and AI, we design solutions that create immediate impact while scaling for the future.

• Deliver high-quality, clean, and maintainable code as a self-directed contributor, driving features and bug resolutions to ensure successful team sprints. • Architect and make critical implementation design decisions for new backend features and components. • Develop proactive contingency plans to mitigate technical risks in high-impact, critical projects. • Analyze technical requirements and design specifications alongside the team to accurately estimate level of effort (LOE) and complexity. • Author comprehensive, clear technical documentation for new features to facilitate seamless knowledge sharing among peers. • Design, write, and execute robust unit and integration tests to guarantee high code coverage and system reliability. • Participate in an on-call rotation to promptly monitor, troubleshoot, and resolve production system incidents. • Conduct thorough peer code reviews, ensuring the team upholds code quality, architectural standards, and security. • Research and evaluate emerging technologies and framework updates to keep our tech stack modern and efficient. • Ensure all system designs and implementations strictly comply with our design libraries, internal best practices, and established coding conventions.